方差驱动的自动化仪器框架

Q3 Computer Science

Operating Systems Review (ACM) Pub Date : 2022-01-01 DOI:10.1145/3544497.3544504

Mert Toslali, E. Ates, Darby Huye, Alex Ellis, Zhao Zhang, Lan Liu, Samantha Puterman, A. Coskun, Raja R. Sambasivan

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引用次数: 0

摘要

开发人员使用日志来诊断分布式应用程序中的性能问题。但是，很难先验地知道哪些地方需要日志，以及需要其中的哪些信息来帮助诊断将来可能发生的问题。我们总结了方差驱动的自动化仪器框架(VAIF)的工作，它与分布式应用程序一起运行。为了响应新观察到的性能问题，VAIF会自动搜索可能的工具选择空间，以启用帮助诊断这些问题所需的日志。为了工作，VAIF将分布式跟踪(一种增强的日志记录形式)与如何在请求跟踪的关键路径部分分解响应时间方差的见解结合起来。

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VAIF: Variance-driven Automated Instrumentation Framework

Developers use logs to diagnose performance problems in distributed applications. But, it is difficult to know a priori where logs are needed and what information in them is needed to help diagnose problems that may occur in the future. We summarize our work on the Variance-driven Automated Instrumentation Framework (VAIF), which runs alongside distributed applications. In response to newly-observed performance problems, VAIF automatically searches the space of possible instrumentation choices to enable the logs needed to help diagnose them. To work, VAIF combines distributed tracing (an enhanced form of logging) with insights about how response-time variance can be decomposed on the criticalpath portions of requests’ traces.

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来源期刊

Operating Systems Review (ACM) Computer Science-Computer Networks and Communications

CiteScore

2.80

自引率

0.00%

发文量

期刊介绍： Operating Systems Review (OSR) is a publication of the ACM Special Interest Group on Operating Systems (SIGOPS), whose scope of interest includes: computer operating systems and architecture for multiprogramming, multiprocessing, and time sharing; resource management; evaluation and simulation; reliability, integrity, and security of data; communications among computing processors; and computer system modeling and analysis.